将二氧化碳固定到淀粉中的计算酶优化方法

Rong Gao
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引用次数: 0

摘要

植物的光合作用通过复杂的分子途径将二氧化碳固定并加工成淀粉。种植和栽培农作物是收获淀粉的主要途径,而中国最近实现了人工合成代谢途径。传统的农作物生产需要延长收获期,占用大量土地和水资源。相比之下,人工合成途径能有效提高淀粉合成效率,使用更少的资源,是一种更可持续的方法。2021 年,中国研究人员报道了体外合成淀粉的合成代谢淀粉人工途径(ASAP)。虽然前人的研究建立了一个里程碑,但还需要优化步骤。本研究选择酶法淀粉合成进行进一步工程化,构建具有相似催化功能的突变体。利用计算工具建立了迭代对接-突变模拟(IDMS)。它可以自动完成蛋白质突变和对接的循环。编码中使用了 Autodock 和 Rosetta。生成并分析了 445 种不同的蛋白质突变体,并选择其中最好的 5 种进行实验研究。在实验分析中,突变体 E 在第一个小时内显示出与野生型几乎相同的催化效率,表达率为野生型的 2.5 倍。
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A computational enzymatic optimization for fixing carbon dioxide to starch
Carbon dioxide is fixed and processed into starch by the plants photosynthesis through complicated molecular pathways. While planting and cultivating crops are the major ways to harvest starch, an artificial anabolic pathway has recently been realized in China. Traditional crop production demands extended harvest periods, extensive land, and substantial water use. In contrast, the artificial pathway enhances starch synthesis efficiently, using fewer resources for a more sustainable approach. In 2021, Chinese researchers reported the anabolic starch artificial pathway (ASAP) to synthesize starch in vitro. Although the previous research established a milestone, steps need to be optimized. In this work, enzymatic starch synthesis is chosen to be further engineered, building mutants with similar catalytic functions. Computational tools are used to build an iterative docking-mutating simulation (IDMS). It can automatically finish the cycle of protein mutations and docking. Autodock and Rosetta are used in the coding. 445 different protein mutants are generated and analyzed in silico, among which the best five were chosen for experimental investigation. In the experimental analysis, mutant E shows nearly the same catalytic efficiency as the wild-type in the first hour, with a 2.5-fold expression rate.
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